一种基于残差分析过滤的安全定位算法
发布时间：2018-07-23 10:59
【摘要】：在无线传感网络节点定位中,恶意锚节点的出现会降低网络定位性能,为了解决这个问题,根据节点定位过程中的恶意锚节点攻击特性和定位计算中的残差问题,提出一种基于残差分析和过滤的无线传感网络安全定位算法。建立了基于距离的安全定位模型,对网络定位中的残差问题进行了分析,并且通过残差特性过滤掉网络中恶意锚节点,利用剩余锚节点信息和梯度下降法对未知节点实现高精度定位。仿真表明,此算法在多个性能指标下都能取得相对较高的定位精度,并且在高强度的恶意攻击下也能保持较高的定位性能。此算法不但能有效地抵御恶意攻击对节点定位的破坏,还显著地加强了网络的定位安全性。
[Abstract]:In the location of wireless sensor network nodes, the appearance of malicious anchor nodes will reduce the performance of network location. In order to solve this problem, a wireless sensor network security location algorithm based on residual analysis and filtering is proposed based on the attack characteristics of malicious anchor nodes and the residual problem in location calculation. The distance security location model is used to analyze the residual problem in the network location, and filter the malicious anchor nodes in the network through the residual characteristics, and use the residual anchor node information and the gradient descent method to locate the unknown nodes with high precision. The simulation shows that the algorithm can obtain relatively high positioning precision under the multi personality index. The algorithm can also maintain high positioning performance under high intensity malicious attacks. This algorithm can not only effectively resist the damage of malicious attacks on node location, but also significantly enhance the location security of the network.
【作者单位】： 湖南大学电气与信息工程学院;
【基金】：中央国有资本经营预算项目(2013-470) 中央高校基本科研项目(2014-004) 国家自然科学基金(61172089) 湖南省科技计划项目(2014WK3001);湖南省科技计划重点项目(2015JC3053) 中国博士后科研基金(2014M562100)~~
【分类号】：TN929.5;TP212.9
本文编号：2139181
[Abstract]:In the location of wireless sensor network nodes, the appearance of malicious anchor nodes will reduce the performance of network location. In order to solve this problem, a wireless sensor network security location algorithm based on residual analysis and filtering is proposed based on the attack characteristics of malicious anchor nodes and the residual problem in location calculation. The distance security location model is used to analyze the residual problem in the network location, and filter the malicious anchor nodes in the network through the residual characteristics, and use the residual anchor node information and the gradient descent method to locate the unknown nodes with high precision. The simulation shows that the algorithm can obtain relatively high positioning precision under the multi personality index. The algorithm can also maintain high positioning performance under high intensity malicious attacks. This algorithm can not only effectively resist the damage of malicious attacks on node location, but also significantly enhance the location security of the network.
【作者单位】： 湖南大学电气与信息工程学院;
【基金】：中央国有资本经营预算项目(2013-470) 中央高校基本科研项目(2014-004) 国家自然科学基金(61172089) 湖南省科技计划项目(2014WK3001);湖南省科技计划重点项目(2015JC3053) 中国博士后科研基金(2014M562100)~~
【分类号】：TN929.5;TP212.9
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